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Record W4242944635 · doi:10.1007/978-0-387-33419-6_9

Conflict Resolution

2006· book-chapter· en· W4242944635 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvolutionary Bioinformatics · 2006
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEvolution and Genetic Dynamics
Canadian institutionsQueen's University
Fundersnot available
KeywordsGenomeArgument (complex analysis)EpistemologyBiologyEvolutionary biologyGeneticsGenePhilosophy

Abstract

fetched live from OpenAlex

The tasks of evolutionary bioinformatics are to identify the forms of information that genomes convey, and show how potential conflicts between different forms are reconciled. Apparent redundancies (e.g. diploidy; Chapter 2), and beliefs in the existence of “neutral” mutations (Chapter 7), and of “junk” DNA (Chapter 12), tended to support the view that there is much vacant genome space, and hence “room for all” in the journey of the genes through the generations. Suggestions that there might be conflicts between different forms of information were not taken too seriously. However, when genomic information was thought of in the same way as the other forms of information with which we arc familiar (sec Chapters 2–4), it became evident that apparent redundancies might actually play important roles — errordetection and correction, and much more. The possibility of conflict could no longer be evaded. The essential argument of this book is that many puzzling features of genomes can best be understood in such terms, as will be emphasized in this and subsequent chapters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it